This github repository contains SAS code for creating simulated longitudinal data with treatment-confounder feedback under a range of true treatment effects. The repository also contains code for estimating the total effect of treatment using the parametric g-formula and agent-based models under a variety of assumptions about the underlying causal structure when this is unknown. This code was originally published as part of the supplementary... Read more about A comparison of agent-based models and the parametric g-formula for causal inference.
This github repository includes SAS code for adherence-adjusted analyses in the placebo arm of the Coronary Drug Project trial, published in Clinical Trials in 2016. This code was originally published as supplementary material with the Clinical Trials paper.
Software for conducting causal inference analyses, data visualization, and individual-level simulation models are available at my github page. For the most updated version of the software, please check github. This page indexes the projects for which code is available.